Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …

In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …

Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt
diagnosis and treatment to prevent vision loss and even death. Deep learning models have …

The variation in skin textures and injuries, as well as the detection and classification of skin
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …

Purpose To compare the diagnostic accuracy and explainability of a Vision Transformer
deep learning technique, Data-efficient image Transformer (DeiT), and ResNet-50, trained …

Early detection of eye diseases is the only solution to receive timely treatment and prevent
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …

Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …

Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …

The competence of machine learning approaches to carry out clinical expertise tasks has
recently gained a lot of attention, particularly in the field of medical-imaging examination …

Glaucoma, a multifaceted eye condition, poses a high risk of vision impairment. Initially, most
automated approaches segment the primary system and assess the clinical measurements …